Structured controllers for uncertain systems : a stochastic optimization approach / Rosario Toscano.

Structured Controllers for Uncertain Systems focuses on the development of easy-to-use design strategies for robust low-order or fixed-structure controllers (particularly the industrially ubiquitous PID controller). These strategies are based on a recently-developed stochastic optimization method te...

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Bibliographic Details
Online Access: Full Text (via Springer)
Main Author: Toscano, Rosario
Format: eBook
Language:English
Published: London ; New York : Springer, ©2013.
Series:Advances in industrial control.
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490 1 |a Advances in industrial control,  |x 1430-9491. 
505 0 0 |g Introduction --  |t Signal and System Norms --  |t Optimization in Control Theory --  |t Stochastic Optimization Methods --  |t Heuristic Kalman Algorithm --  |t Uncertain Systems and Robustness --  |t H [infinity symbol] Design of Structured Controllers --  |t H 2 and Mixed H 2/H [infinity symbol] Design of Structured Controllers --  |t Nonlinear Structured Control via the Multi-model Approach --  |g Conclusion. 
504 |a Includes bibliographical references and index. 
520 |a Structured Controllers for Uncertain Systems focuses on the development of easy-to-use design strategies for robust low-order or fixed-structure controllers (particularly the industrially ubiquitous PID controller). These strategies are based on a recently-developed stochastic optimization method termed the "Heuristic Kalman Algorithm" (HKA) the use of which results in a simplified methodology that enables the solution of the structured control problem without a profusion of user-defined parameters. An overview of the main stochastic methods employable in the context of continuous non-convex optimization problems is also provided and various optimization criteria for the design of a structured controller are considered; H∞, H2, and mixed H2/H∞ each merits a chapter to itself. Time-domain-performance specifications can be easily incorporated in the design. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control. 
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650 7 |a Feedback control systems  |x Mathematical models.  |2 fast  |0 (OCoLC)fst00922457. 
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